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(1)

N A L E S E D L ’IN IT ST T U

F O U R IE

ANNALES

DE

L’INSTITUT FOURIER

Tanya CHRISTIANSEN & M. S. JOSHI

Scattering on stratified media: the microlocal properties of the scattering matrix and recovering asymptotics of perturbations

Tome 53, no2 (2003), p. 565-624.

<http://aif.cedram.org/item?id=AIF_2003__53_2_565_0>

© Association des Annales de l’institut Fourier, 2003, tous droits réservés.

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(2)

565

SCATTERING ON STRATIFIED MEDIA:

THE MICROLOCAL PROPERTIES

OF THE SCATTERING MATRIX

AND RECOVERING ASYMPTOTICS OF PERTURBATIONS

by

T. CHRISTIANSEN and M. S. JOSHI 53, 2

(2003),

565-624

1.

Introduction.

In this paper, we

study

the structure of the

scattering

matrix on a

perturbed

stratified medium. In

particular,

we show that its main

part

is a Fourier

integral operator.

En route to

proving

this

theorem,

we

develop

an

improved limiting absorption principle

for a

large

class of

perturbations, using techniques

from Fourier

analysis

and microlocal

analysis.

As an

application

of our

results,

we prove that the

asymptotics

of a

perturbation

can be recovered from the

scattering

matrix at one energy.

Recall that a stratified medium is a model space in which sound waves

propagate

with a variable sound

speed

that

depends

on

only

one coordinate.

Thus,

if we write the coordinates on R~ as z =

(x, y)

with x E and

y E

R,

we take the wave

speed

to be of the form

co(y)

and

study

the wave

equation

The first author was partially supported by NSF grant 0088922.

Keywords: Stratified media - Scattering matrix - Inverse problems - Limiting absorption principle.

Math. classification: 35P25 - 81U40 - 35S30.

(3)

where We assume that co is constant for

Iyllarge

and

that it is

piecewise

smooth. Set

In

general,

we do not

require

that c+ be

equal

to c-.

However,

some of our

results are

stronger

when

they

are

equal.

A

perturbed

stratified medium is a medium in which the variable sound

speed,

c, has the

property

that c - co is well-behaved at

infinity.

The case where the

perturbation,

c - co, is

rapidly decaying

has been

studied in many

previous

papers. In

particular, precise asymptotics

for

(C 2A - (A -z0)~)~/,

when

f

E were established in

[5].

That co and

the

scattering

matrix at fixed non-zero energy determine an

exponentially decaying perturbation

was

proved

in

[20] (co(y) -

for

::1:y

&#x3E;

0), [15] (co(y) =

for

~y

&#x3E;

yM),

and

[33] (for

co a Pekeris

profile).

In

[1], [2]

a similar result was

proved

under more relaxed

requirements

on

co. In

particular,

co was

required

to

exponentially approach

constants as

::1:y ---*

oo, whilst still

requiring

that c - co

exponentially decay.

Here we

study

the case where the

perturbation,

c - co, has an

asymptotic expansion

in

homogeneous

terms at

infinity.

Under certain conditions on c and co made more

precise

in Section

2,

we show that the

scattering

matrix for

c20

is a Fourier

integral operator

and describe its

singular

set.

Moreover,

we show that the

asymptotics

of the

perturbation

can be recovered from the

scattering

matrix at fixed energy. We also establish the

leading

term of the

asymptotics

for the

limiting absorption principle.

Our results use

techniques developed by

Joshi and Sa

Barreto, [21], [22], [23], [24], [25],

to

study

inverse

problems

in other

settings.

These

build on work

by

Melrose

[26],

and Melrose-Zworski

[27],

on the structure

of the

scattering

matrix on

asymptotically

Euclidean spaces. As in those inverse

results,

the fundamental idea here is to

compute

the

symbol

of the

scattering

matrix

by solving transport equations along geodesics

on the

sphere

at

infinity.

These

equations

express the

propagation

of

growth

at

infinity.

The

analysis

here

is, however, considerably

more involved as the

unperturbed

wave

speed,

co, is not smooth on the

compactified

space obtained

by adding

the

sphere

at

infinity,

even when

co(y)

is a smooth

(4)

function of y. This is because co does not have nice

asymptotics in Izl.

Therefore co is well-behaved on the

compactified

space

only

after the space has been

blown-up

on the

equator

at

infinity.

This manifests itself in our

analysis by requiring

the

geodesic

flow at

infinity

to be refracted and reflected

by

the

equator.

It was also seen in

[5]

that it makes the

asymptotics

in the

limiting absorption principle

much more

complicated.

There is a

certain

similarity

here with

many-body scattering,

compare, e.g.

[29].

There

the

scattering problem

is

complicated by

the presence of a

potential

that

does not

decay

in certain directions and thus appears as a

spike

on the

sphere

at

infinity.

This causes refractions and reflections of the

geodesic

flows

[29]. Indeed,

the case where c+ = c- bears much resemblance to the

many-body

case.

However,

when

c+ ~

c_ , there are

effectively

different

energy levels in the two

hemispheres,

and this introduces new

complications

which are not

present

in the

many-body setting,

and much of this paper is dedicated to

coping

with these

complications.

In Section 5 we define the

scattering matrix,

and its "main

part."

When the

operator

+

",,2)

has no

eigenvalues

as an

operator

on

co 2dy)

for all real x, then the main

part

of the

scattering

matrix

is the same as the

scattering

matrix.

Below we refer to the

hypotheses (HI)

and

(H2).

For full

details,

see Section

2,

but

roughly speaking hypothesis (HI)

is that c+ = c-, c

and co are

smooth, and c - co) x C(I + z ~ ) -2 . Hypothesis (H2)

is that

Our first main result is

THEOREM 1.1.

Suppose

c, co

satisfy

the

general assumptions

of

Section

2,

and either

hypothesis (Hi)

or

(H2). Then,

if c+ = c_, the main

part

of the

scattering

matrix is a zeroth order Fourier

integral operator

associated with broken

geodesic

flow at time 7r. If c- &#x3E; c+, then the main

part

of the

scattering

matrix is a sum of Fourier

integral operators

associated with the

mapping

and the

mapping

and

(5)

Here,

when c+ - c-, the

geodesic

flow is broken at the

equator

(w, 0)

C This can be

compared

to the situation for the

Laplacian [27],

or a

perturbation

of the

Laplacian

to an

integral

power

[6],

on a manifold

with

asymptotically

Euclidean

ends,

where the

scattering

matrix is a zeroth

order Fourier

integral operator

associated to

geodesic

flow at time 7r on the

the

boundary

"at

infinity."

An additional

analogy

is to

3-body scattering,

where the three-cluster to three-cluster

part

of the

scattering

matrix is a

sum of Fourier

integral operators

associated to broken

geodesic

flow at time

7r

[29].

Other results on the structure of the

scattering

matrix in

n-body scattering

may be found in

[30].

Further results on the structure of the

scattering

matrix are

given

in

Proposition

5.2.

Our central inverse result is

THEOREM 1.2. -

Suppose

c and co

satisfy

the

general assumptions

of Section

2,

as well as either

hypothesis (Hl)

or

(H2),

and n &#x3E; 3.

Then,

if c+ - c_, the

asymptotic expansion

at

infinity

of c - co is

uniquely

determined

by

co and the transmitted

singularities

of the main

part

of the

scattering

matrix at fixed non-zero energy.

If c+

c-, then the

asymptotic expansion

is

uniquely

determined

by

co and the reflected

singularities

of

the main

part

of the

scattering

matrix at fixed non-zero energy.

The reflected

singularities

are those associated to the

mapping (-W, Wn), and,

for c+ - c- the transmitted

singularities

are

those associated to the

mapping

-We

Corollary

8.1 shows that knowl-

edge

of c+,

c-, A

and the

singularities

of the

(absolute) scattering

matrix

for any fixed non-zero energy determine the

asymptotics

of c.

Following

the

approach

to

studying

the

scattering

matrix introduced in

[27],

in Section 7 we construct a

parametrix

for the Poisson

operator.

This is a

key part

of our

proofs,

as it facilitates an

understanding

of the

singularities

of the

scattering

matrix. We work

particularly by adapting

the

techniques

of

[22]

which are

essentially

a concretization of the

approach

introduced in

[27]. However,

the different behaviour of the

unperturbed operator

in different

regions

at

infinity

means that the

analysis

is

considerably

more involved.

To pass from a

parametrix

to the actual Poisson

operator,

we need a

good understanding

of the behaviour of

(A - (A - iO)2c-2)-1 f

at

infinity,

when

f

E

(z)-OO L2(IRn)

and

(1 - cp(y))f

E for

some 0

E

In

practice,

we shall

apply

this

understanding

to the error

arising

from

(6)

the

parametrix

of the Poisson

operator.

When c+ - c-, we can obtain the necessary results

by modifying

some

n-body

results of

[14]

and

[28].

However,

when c+ c- these results no

longer apply,

and we

develop

new

techniques.

The essential idea of these

techniques

is to

repeatedly develop

better

approximations

with

improving

smoothness

properties.

Thus

Sections 9 and 10 are devoted to

understanding (A - (A -

allowing

us to finish the

proof

of Theorem 1.1. In

particular,

we prove the

following limiting absorption principle:

THEOREM 1.3. - Let c and co

satisfy

the

hypotheses

of Section 2 and

hypothesis (HI)

or

(H2).

For any X E

C°° (~~ -1 ),

and

f

E

such that

(1 - 0(y))f

E for

some 0

E ure have

where ao e and ui E for all e &#x3E; 0.

Here

C°° (~~ -1 )

is the space of smooth functions

vanishing

in a

neighbourhood

of the

equator

and in a

neighbourhood

E

An announcement of some of these results and an outline of

part

of the

proof

can be found in the lecture notes

[7].

A note on

organization:

We need Theorem 1.3 to prove Theorems 1.1 and 1.2.

However,

since the

proof

of Theorem 1.3 is rather involved and

uses different

techniques

from much of the remainder of the paper, we defer its

proof

to Section 10. Sections 2 and 3 contain

preliminary information, stating assumptions, fixing notation,

and

recalling

some results of other papers. In Section 4 we define the Poisson

operator,

which we use in Section 5 to define the

(absolute) scattering

matrix. Also in Section 4

we prove the existence of the Poisson

operator

and prove Theorem

1.1, though

we use results

proved

later in the paper. The

proof

that the Poisson

operator (and

thus the

scattering matrix)

is well defined is deferred to Section 6. In Section 7 we construct

P,

an

approximation

of the Poisson

operator P, proving Proposition

4.2. Theorem 1.2 is

proved

in Section

8, using

the construction of

P

and Theorem 1.3.

Finally,

Sections 9 and 10 contain results about

C-2(À - iE)2)-1, culminating

in the

proof

of Theorem 1.3.

We are

grateful

to Fritz

Gesztesy

for

helpful

conversations and

providing

useful references and to Jim Ralston for

helpful

discussions. We thank the London Mathematical

Society

for

supporting

this collaborative

(7)

research

through

its small

grants

scheme. We also thank the referee for his

or her careful

reading

of an earlier version. The

resulting helpful

comments

have

improved

the

exposition

of this paper.

2.

Assumptions

and notation.

Throughout, z =

E x R.

Both sound

speeds

c and co

satisfy

0 cm x c, cM oo.

Moreover, co(y)

is

piecewise

smooth and there exists a finite yM so that

co(y) =

when

::1:y

&#x3E; yM, with c- &#x3E; c+. In

addition,

all derivatives of co are bounded

except

at

finitely

many values of y. This includes the case where co is

piecewise

constant.

We

require that,

away from the

hypersurface 01,

c - co be

smooth outside of a

compact

set

K,

and for

simplicity

we choose yM so that K C

R n-1

x

[-yM, yM]. Moreover,

we make

requirements

on the

behaviour of c - co at

infinity.

We

have,

for

Y =1= 0,

for any N and any multi-index a,

where qj

E

0) ~ ) .

Here we

use the notation that is the space of smooth functions on X that have all derivatives bounded. We shall take J to be at least 2

everywhere, although

sometimes we shall

require

it to be

larger.

Some of our results

hold under less restrictive

hypotheses.

Additionally,

we shall often use one of the

following hypotheses:

(HI)

J

= 2,

c+ = c-, c and co are smooth.

(H2) J &#x3E;

4.

We warn the reader that the choice of the total space dimension to be

rt rather than n+ 1 is in

disagreement

with

[5]

and many other papers on the

subject.

We use the notation

(w ~

_

(1 + IwI2)1/2. Throughout,

c shall stand for a small

positive quantity

and C for a

positive constant,

either of which may

change

from line to line. For w E

R’, b(w, t)

-

means

for any N and t E

K,

K a

compact

set in some manifold.

(8)

3.

Spectral theory

of

co0.

In order to define the

(absolute) scattering

matrix for we will need some

understanding

of the

generalized eigenfunctions

of

co0

and

c A ,

and in

particular

of the space that

parameterizes

them. Further details can be found

in,

for

example, [3], [13], [32], [34].

The

operators co0

and

c20

are

formally self-adjoint

on

L (R , C02 dz)

and

c-2dz), respectively,

and have

unique self-adjoint

extensions.

Roughly speaking,

the

spectral

measure of can be

given

in

terms of two kinds of families of functions. At fixed energy

A,

the first

is

parameterized by ~~ -1.

Here

(Compare [32,

Section

2.1~;

we are

modifying

somewhat the notation of

[32].)

The

generalized eigenfunctions

are

À, w),

where for &#x3E;

0,

and

satisfies

Moreover,

as y - oo,

and as y - -cxJ,

where when

1 /c2 -

+ 0 we take the square root so that the

right

hand side of

(8)

is

exponentially decreasing.

The function

ø-

is

similarly

determined: as y - -oo,

and 2013~ oo,

Properly normalized,

these

generalized eigenfunctions

appear in the spec- tral

decomposition

of

(9)

A second

type

of

generalized eigenfunction

comes from

eigenvalues

of

CÕ(11:2 + D 2)

on

L2 (R, C-2 dy),

if there are any. If there are any

eigenvalues,

let

A~(~) A 2 (K)

...

~~(,~) (~) C2K2denote

the

eigenvalues

of

cÕ(11:2 + D)).

There are

only finitely

many

(perhaps no) eigenvalues

for

fixed K and the number is

nondecreasing

in

~2. Additionally,

if K &#x3E; 0 and

Aj

&#x3E;

0,

then

~

&#x3E;

0;

this can be seen via an

integration by parts argument

(see,

e.g.,

[5,

Sect.

2.2]).

Figure

-L The

spectrum

+

Dy ) ,

for c+ c_ ,

min co

c+.

Let KJ

be the smallest

positive

number such that

CÕ(K2

-I-

D~)

has

j eigenvalues

for all K &#x3E;

KJ. Let Kj

be the inverse function of

Àj (with

the same

sign),

and

let tj

-

() - c+(,o)2.

The are called

thresholds of Let

T(A)

be the number of

thresholds tj

less than

A2.

For 0

where E satisfies

and note that

(co0 -

0. The functions are

exponentially decreasing,

as can be seen

by noting

that for &#x3E; YM,

they

are

L~

solutions

At energy level

~2,

we can

parameterize

the

generalized eigenfunctions

of

co0 by Sn- 1

and

T(A) copies

of

S,-2 .

The continuous

spectrum

of

c2 A

is

parameterized by

the same space as that of

C2 A. Therefore,

the

(absolute) scattering

matrices of and are

operators

from

L 2(Sn-1) L2 (Sn-2)

into itself. In

[5]

a definition of the

scattering

matrix is

given

in terms of the

generalized eigenfunctions. Here, however,

it will be more useful to define the

(absolute) scattering

matrix

using

the

Poisson

operator,

which we shall do in Section 5.

(10)

4. The

Poisson operator.

The Poisson

operator

is defined as an

operator

(Again,

we have

C°° (~~ -1 )

because

S’-1 parameterizes part

of the contin-

uous

spectrum.)

In order to define the Poisson

operator,

we introduce the notion of an

"outgoing"

function in this

setting.

DEFINITION 4.1. A function u E

(Z)1/2+EL 2(R n)

will be called

outgoing

if it has a

decomposition u

= Uo + + U with the

following properties:

for any c &#x3E; 0.

PROPOSITION 4.1. -

then for A E

R, ~ ~ 0,

there is a

unique u

such that

and,

at

infinity,

where v is

outgoing

as defined in Definition 4.1 and the

fj

and Kj are as defined in Section 3.

We will

give

the

proof

of the existence of such a u in Section 4.1. We

postpone

the

proof

of the

uniqueness

to Section 6. This

proposition

allows

us to define the Poisson

operator, P(A).

DEFINITION 4.2.

then

P(A)g =

u, where u is the u of

Proposi-

(11)

Definition

5.1, using Proposition 5.1,

defines the

(absolute) scattering

matrix via the Poisson

operator.

4.1. Existence of the Poisson

operator.

Here we prove the existence

part

of

Proposition 4.1, using

some results

that we prove later in the paper. The first

step

is the construction of an

"approximation"

of the Poisson

operator,

which is carried out in Section 7.

Other, simpler, proofs

of the existence

part

of

Proposition

4.1 are

available,

but this one facilitates the

proofs

of Theorem 1.1 and 1.2.

For w E

sn-l,

let

8w (0)

be the distribution such that

and

similarly

for

PROPOSITION 4.2. - There is a distribution i such

that, for ,

where

X(y)

E

C~(Jae)

is 1 for yM + 1 and a,

{3

are any multi-indices.

Moreover, distributionally

as

lzl

- oo,

where

ho (w, 0)

E c X

Sn- 1).

If c+ - c-,

ho

is the Schwartz kernel

c

of a Fourier

integral operator

associated to broken

geodesicflow

at time 7r.

If c- &#x3E; c+, then

ho is

the Schwartz kernel of the sum of Fourier

integral operators

associated with the

mapping

and the

mapping

and

(12)

For j

&#x3E;

0, distributionally as Izl

2013&#x3E; oo,

Here

hi

E

v,(sn-2

X

Sn-2)

is the Schwartz kernel of a Fourier

integral operator

associated with the

antipodal

map on

Sn-2.

We will prove this

proposition

in Section 7.

We also use

PROPOSITION 4.3.

If f

E

(z~ 3~2+EL2(I~n)

for every E &#x3E; 0 and

J &#x3E; 2,

then u =

(A - (A - iO)2C-2)-1 f

is

outgoing

in the sense of Defini-

tion 4.1.

This

proposition

will be

proved

in Section 9.

Proof of the Existence Part of

Proposition

4.1. Let

and let For

Then

and u has an

expansion

at

infinity

as

required

in

Proposition

4.1. Conse-

quently, Q

=

P(a),

the Poisson

operator.

D

5. The

scattering

matrix and the

proof

of

Theorem

1.1.

We will define the

(absolute) scattering

matrix via the Poisson

operator.

In

doing

so, we assume that the Poisson

operator

is

uniquely determined;

we will prove this in Section 6.

We shall use the

following lemma,

which will be

proved

in Section 9.

(13)

LEMMA 5.1. -

If f

E

(z~ -°° L2 (II~n ),

then

for y

E

K,

K c R

compact,

where bj

C and vi E

x K) for any E

&#x3E; 0.

Moreover,

for

1 j - T(A)

the

uj in

the definition of

outgoing

functions can be taken

To define the

scattering operator,

we need PROPOSITION 5.1. Let

for K a

compact

set in

~~ -1. Then,

there

exists j

such that for 9

where

uK

I for any c &#x3E; 0.

Let y E

Ky, Ky

C R

compact,

and let 9 =

Then,

there exists I such that

as Ixl -~

oo,

where 1

Proof. We use the same notation to stand for an

operator

and its Schwartz kernel. Since

the first

part

of this

proposition

follows from

Propositions

4.2 and 4.3 and Theorem 1.3. The second

part

of the

proposition

follows

again

from the

identity (11), Propositions

4.2 and

4.3,

and Lemma 5.1. 0

(14)

This information about the Poisson

operator

allows us to define the

(absolute) scattering

matrix

A(A).

DEFINITION - 5.1. ’71t B. - B The

(absolute)

~

scattering

matrix

A(A)

is -

given,

’71t B. B

where for any

compact

set K C

~~ -1,

is as in

Proposition 5. l, and,

for as in

Proposition

5. l.

We remark that this definition differs

slightly

from the absolute scat-

tering

matrix discussed in

[5]. However,

as the two differ

by

a

straight-

forward

normalization,

we shall use this definition here both to

emphasize

the similarities with the absolute

scattering

matrix as defined in

[26]

and

because it is more convenient for the inverse results.

For

completeness,

in

Appendix

A we outline a

proof

that

A(A)

can

be extended to a bounded

operator

on

L 2(S,-I) EBf(À) j,2 (~n-2 ) _

For fixed

A, A(A)

is a matrix

(Aij(À)), 0 - i, j T(A),

with the

Aij

operators.

We shall call

Aoo (a)

the "main

part"

of the

scattering

matrix.

If the

operator c5(Dy

+

~2)

has no

eigenvalues

on

c¡;2dy),

the main

part

of the

scattering

matrix is the entire

scattering

matrix.

We can now prove Theorem

1.1,

on the structure of the

(absolute) scattering

matrix.

Proof of Theorem 1.1.

Again,

we use the

identity (11). Using

the

definition of the

scattering

matrix and Theorem

1.3,

any

singularities

in the

main

part

of the

scattering

matrix must come from

Po.

Then

Proposition

4.2

gives

the structure of the

singularities

of the

scattering

matrix. D

Finally,

we conclude this section with a

proposition

that describes the

singularities

of the other entries in the

scattering

matrix.

PROPOSITION 5.2. - Let c, co

satisfy

the

general

conditions of Section 2 and either

hypothesis (Hl)

or

(H2).

Let

A(A) = (Aij(À)), 0 , i, j - T(A).

Then, for j

&#x3E;

0,

is a Fourier

integral operator

associated with the

antipodal mapping

on

sn-2,

and for i not

equal

to

j, Aij (A)

is a

smoothing operator.

Proof.

Using

the

identity (11),

Lemma

5.1,

and Theorem

1.3,

the

singularities

of the

scattering

matrix arise from Then

Proposition

4.2

and the definition of the

scattering

matrix show that the

singularities

of

the

scattering

matrix are as claimed. D

(15)

6. Proof of

Proposition

4.1 :

uniqueness.

In

proving Proposition 6.1,

we shall use some results of Weder

[31], [32] (See

also

[11]).

We recall some of his results below. Let A -

(-i/4)(z Vz

+

z).

We define the commutator

[A - ,B2/c2,A]

as a

quadratic

form

(See

the

proof

of Theorem 5.4 of

[32]). By [31,

Lemma

3.1]

for all A &#x3E;

0, p

&#x3E;

-~2/c2 ,

there is a

compact operator K,

a

compact

interval A

containing

p, and

(3

&#x3E; 0 such that

where

En = A 2C-2)

is the

spectral projector

for 0 -

A2c-2.

The

following proposition

and its

proof,

included for the convenience of the

reader,

are

essentially adapted

from

[2,

Lemma

4.17].

PROPOSITION 6.1. for every c &#x3E; 0 and

(A - A 2/C-2) U

=

0,

then u - 0.

Proof.

By

the results of

[31], [32],

there is no nontrivial

L2 null

space of A -

~2 /c2,

so it suffices to show that u E

and let 4) E be 1 in a

neighbourhood

of 0. Note that

where

Then

Since

(16)

we have

Here and below

CD

is a constant that may

change

from line to line which

depends

on

D,

and also on A and c, but which is

independent

of 6 and E.

Since, using (13),

a similar bound holds for we

obtain from

(14)

Since =

0,

we have

The bound can be seen, for

example, by using

the

Helffer-Sjostrand representation

of

However, using (12),

the fact that 0 is not an

eigenvalue

of

L,

and

[9,

Lemma

4.2],

we obtain

for some

{3l

&#x3E;

0,

if the

support

of (D is chosen

sufficiently

small. Thus we

have, using (15)

and

(16),

and

choosing E sufficiently small,

Therefore

Using (16),

this shows that for

sufficiently

small E &#x3E;

0, IluEó II

is bounded

independent

of

6,

and thus u E

L~(R~),

and u - 0. D

This allows us to show the

uniqueness

of

"outgoing"

solutions.

PROPOSITION 6.2. - Given

f

E there is at most one

outgoing

- 1- - - -

(17)

Proof. -

Suppose

there are two such u. Then

by considering

the

difference we can reduce to the case where

f -

0. Then

where E for all E &#x3E; 0.

Using

the facts that

f fj (y) f ~ (y)dy

= 0

if j 54

k and

fj

is

exponentially decreasing,

this

implies

that as R - o0

Since uj E

(y) -°° (x) 1~2+EL2 (Ilgn)

and uo E

(y~ 1~2+E (z~EL2 (II~n),

we have

uouj

E

(y~-°° (z) 1~2+ZEL1 (I~n). Therefore,

the

right

hand side of

(17),

considered as a function of l~ for

large R,

is in

R’/2+2"L’(R+),

so that

Now suppose we know that uo,

Uj E

for some

13

&#x3E; 0.

Then, using (17) again,

since and uoeo, ujej,

e f

E

(z)/3+t Ll (IRn),

we obtain uo, Uj E

(z~~~2+EL2 (Il~’~)

for any c &#x3E; 0.

By repeating

this

argument,

we obtain that uo, Uj E

(z)8 L2(IRn)

for any

6 &#x3E;

0, 1 j T(A).

Thus u E

(z)6L2(R")

for

any 6

&#x3E; 0.

By

the

previous

proposition, u -

0. D

Proposition

6.2

gives

the

uniqueness part

of

Proposition

4.1.

7.

The approximate Poisson operator P.

In this section we prove

Proposition

4.2: we construct an

approxima-

tion of the Poisson

operator.

We will use the

following

lemma.

(18)

LEMMA 7. 1. - For

f

E the

boundary

value

problem

with

boundary

conditions

has a

unique

solution in

Proof. This

boundary

value

problem

can be reduced to the form

This has a solution if the null space of the

adjoint operator

is

trivial,

and

the solution is

unique

if the

only

solution of the

homogeneous equation

is

the trivial one.

The

adjoint operator

is the

operator

with domain

and

Suppose g

is a nontrivial element of the null space of the

adjoint operator.

Then

Using

the

boundary conditions,

we find that this is

Thus

A similar calculation shows that the

original operator

has no nontriv-

ial null space. 0

(19)

In our

proof

of

Proposition 4.2,

the existence of an

approximation

to the Poisson

operator,

we shall concentrate on the construction of

Po.

This

is the most

complicated component

and also the one of

primary interest,

since our inverse results involve the main

part

of the

scattering matrix,

The construction owes a

great

deal to that of

[22],

and we refer the

reader to it for full details.

We will show how to construct

Po (z, A, w) when Wn

&#x3E;

0;

the case of

wn 0 is

quite

similar. The construction involves

solving

away errors at

infinity.

Since the model

operator

has different behaviour

depending

on the

region

"at

infinity" ( y

&#x3E;

H

yM , or y

-ym)

the

techniques

involved

necessarily depend

on the

region

in which z lies. The

proof

is

additionally

divided into two subcases: &#x3E;

0,

and

1 /c2 -

0.

Roughly speaking,

the second subcase

corresponds

to

total internal reflection and for these values

Po (z, A, 1J)

is

exponentially decreasing in y

as Y ---* -00. In this subcase we can handle the entire

region

y yM at once. The first subcase

corresponds

to

angles

of incidence in which some of the wave is

transmitted,

and for these values of 1J,

Po

is

oscillatory

at

infinity

in all directions.

Finally,

there is a third

division, involving

the construction of

Po

near

the

points

where it is

singular

at

infinity (and

where the

singularities

of the

scattering

matrix

arise).

This we defer to Section 7.1.

In an

attempt

to make the

proof

more

readable,

we outline our

construction of

1. y

&#x3E; yM, the

"upper hemisphere"

a)

"incident"

b) "reflected,"

away from the

singular point = ( -~, wn)

a) y

-yM, the "lower

hemisphere,"

away from the

singular point

( "transmitted" )

Section 7.1. Construction near

singular points.

The numbers

correspond

to

numbering

of the

paragraphs.

(20)

1. Let c.v =

(w,

with Wn &#x3E; 0. In our construction of the

approxi-

mation to the Poisson

operator Po,

we

begin

with the function

A, w)

which is defined

by (5)-(8).

Note

that,

up to a constant

multiple

which

depends only

on n,

A,

and c~ ,

(Do

is the Schwartz kernel of the

(partial)

Poisson

operator, Po,,O,

for when cv is in the upper

hemisphere

of

Sn-1.

We use this as our

starting point, adding

or

subtracting

terms to cancel

the errors that result when we

apply c20 - A 2

to

4bo.

When y &#x3E; we use the

techniques

of

[22]

to construct

P.

Note

that when we

apply c20 - A 2

to we obtain an error

which, for y

&#x3E; yM, is of the form

where E

S;h2g.

Here we say that b E if

b -

with bk

smooth in w, and call it a

polyhomogeneous symbol

of

order - j .

We think of as an "incident" error and as the "reflected" error.

Ia. Note that if

b(z, A,c~)

E then for y &#x3E; YM,

Of the terms in

parentheses

on the

right,

the first is of the

highest order,

E The others are in

,S’~h9 2 .

Suppose

our construction to some

point

has resulted in an error of the form

similar to that of

(20).

To remove the term

(21)

from the error, we look for with

,

Using (21),

if we then subtract

from our current

approximation,

the error term is

again

of the form

(22),

but the coefficient of

e’)"*’/’+

in the new error will vanish to one order faster at

infinity.

We choose

bI,_j+l ( ~ z ~ , À, c~)

so that it is smooth at

zllzl I

= w

in order to

keep

the

right

coefficient of

e’Alzl/c+

in the distributional

asymptotic expansion. (Here

the "I" in the

subscript

stands for "incident."

Later we shall see "R" for "reflected" and "T" for

"transmitted.")

To solve

(23),

introduce the

"polar"

coordinates

(s, 0),

centered at w,

in

place

of That

is,

let s be the

geodesic

distance on the

sphere

from

w to

z/lzl

and

let 9

be

angular

coordinates about w. Then

equation (23)

can be

solved, just

as in

[22,

Section

2], giving

We are

abusing

notation

here, using

the same notation for

A, w)

and

bI,_~+1 (s, B, ~, c.~),

and

similarly

for

dI,-j.

Note that as

long

as

z/lzl

is in the upper

hemisphere

we are away from -1J so the

transport equation

has a smooth solution.

Moreover,

since

-(Do(z,A,w)

is smooth in

We find

iteratively

and then use Borel’s lemma to

asymptotically sum obtaining

a

bj

such that

when y &#x3E; yM . Note that the construction of

bI

has not

changed

a2.

Ib. We will

apply

almost the same

technique

to solve away the error

yM, away from

zllzl == (-w, wn).

Here we will

use solutions to the

transport equation

where we choose the initial condition at

y/lzl = 0,

and the

solutions,

in

analogy

to

(24),

are of the form

(22)

Here s is the distance on from 0 = to the

point

and

6

is the

angular

coordinate about

(ZJ, 2013~~).

The value s = sRo

corresponds

to

On

=

0,

and

CR,j depends only on w and B

and will be determined below.

We

postpone

to Section 7.1 discussion of the form of the

parametrix

near

= (-LV,

the

singular point.

IIa. In the lower

hemisphere,

we use a similar

technique

if

1/c2 -

&#x3E; 0. Here the error term is of the form

where aT E

Again

we have solutions like

(24)

to the

transport

equation, although

this time s measures the distance on the

sphere

from

the

point

We will have an additional term away

from of the form

where is a solution to a

transport equation

like

(23):

Again, s

is the distance on

S’-’

from and sT,,

corresponds

to the distance at = 0.

Y

The constants

(in s) CR,j

and

CT,j

are to be determined. Of course

their values affect

subsequent

errors and thus

subsequent

IIb. We will use a different

technique

to construct the solutions when

Iyl

yM . We

point

out that if co is not

smooth,

for

example,

if it is

piecewise constant,

we should

expect

it to be

impossible

to find a smooth

Poisson

operator

on R~. We choose our

approximations

so that

Po

is

Cl

on R’.

The values of

CR,j,

and

CT,j

are determined

by

solutions to

boundary

value

problems

that arise in

constructing

the

parametrix when jyj

as described below.

(23)

When jyj

the errors are of the form

We look for an

approximate

solution of the form

The is of lower order and is included to

improve

the

regularity at y = ~ yM .

We will suppress the

dependence

of

bR,-j ,

and

bM,-j

on A and w to

simplify

notation. Note that

Therefore, for y ~

yM , to solve away an error of the form

we look for

bM,-j

such that

The

boundary

conditions which must

satisfy

come from

matching

with the solutions in the

top

and bottom

hemispheres

in order to

get

a function which is

C 1

"at

infinity". They

are

where is known

(it

is determined

by integrals

over

portions

of

geodesics

of and

CRj

are to be determined and are

independent of y,

and so can be treated as constants in

solving

the

boundary

value

problem. They

can be eliminated from this set of

equations, resulting

in a

boundary

value

problem

of the

type

considered in Lemma

7.1,

which

(24)

guarantees

us a

unique

solution to the

problem

when

1 / c2

This then determines

bR,-3

and

bT,-j,

since

CT,j

and are determined

by bM,-j.

We remark that if

0,

then =

this will be

important

when

studying

the

inverse

problem.

In order to ensure that our function will be

C’

at y - yM and at y = -YM we will add an additional term whose total contribution will be of order

Let X

E

c~(Iae), X(t)

= 1

for It I

1 and

X(t)

= 0 for

I t &#x3E;

2. Let

Note that

by

our choice of

b3,

’YU3, and qLj all have

leading

order

Now,

let

For jyj

yM , this determines the

approximate

solution of the form

(26).

III. If

0,

then we use a

slightly

different method for

finding

the

approximate

solution

when y x

yM .

Here,

in a manner similar

to that used

for lyl

yM

above,

we solve away the error term

by using

an

approximation

of the form

where

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